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Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #184
A New Distribution on the Simplex with Auto-Encoding Applications
Andrew Stirn · Tony Jebara · David Knowles
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #185
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran · Mike Dusenberry · Mark van der Wilk · Danijar Hafner
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #186
Streaming Bayesian Inference for Crowdsourced Classification
Edoardo Manino · Long Tran-Thanh · Nicholas Jennings
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #187
Learning Hawkes Processes from a handful of events
Farnood Salehi · William Trouleau · Matthias Grossglauser · Patrick Thiran
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #188
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions
Peng Chen · Keyi Wu · Joshua Chen · Tom O'Leary-Roseberry · Omar Ghattas
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #189
Provable Gradient Variance Guarantees for Black-Box Variational Inference
Justin Domke
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #190
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh · Ehsan Hajiramezanali · Krishna Narayanan · Nick Duffield · Mingyuan Zhou · Xiaoning Qian
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #191
Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell · Boyan Beronov
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #192
Stein Variational Gradient Descent With Matrix-Valued Kernels
Dilin Wang · Ziyang Tang · Chandrajit Bajaj · Qiang Liu
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #193
Tensor Monte Carlo: Particle Methods for the GPU era
Laurence Aitchison
Poster
Wed Dec 11th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #194
The Thermodynamic Variational Objective
Vaden Masrani · Tuan Anh Le · Frank Wood